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computing (HPC). This position offers an exciting opportunity to work on cutting-edge research projects at the intersection of numerical linear algebra and advanced HPC. The candidate will join an
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an appropriate autogenous mill for pilot testing. Lead the design and execution of lab-scale autogenous grinding trials based on experimental design. Contribute to the numerical modeling of beneficiation circuits
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engineering, computer science applied to urban infrastructure, data science, or a related field. Expertise in numerical modeling and simulation for urban systems. Proficiency in digital twin tools and platforms
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of spectroscopy methods such as VNIR, SWIR and XRF as alternatives to traditional methods, Organization of field trips, data collection and lab work, Spectral data analysis, data processing, and model development
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transfection methods (chemical, electroporation) or viral infection techniques (adenovirus, baculovirus). Purifying target proteins using chromatographic techniques (affinity, ion exchange, gel filtration
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phosphorus and/or carbon metabolism. Strong background in plant nutrient transport, remobilization, or metabolic flux analysis. Familiarity with methods such as gas exchange analysis, root imaging
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experiments to assess the efficacy of microalgae and cyanobacteria in improving soil quality and plant performance. Analyze experimental data using appropriate statistical methods and communicate findings
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challenging task. In most cases, only a sample of a network is observed. Therefore, network completion needs to be addressed. Matrix completion methods have proved to be efficient when reconstructing a non
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methods. Structural and Chemical Characterization using: X-ray Powder Diffraction (XRD) and Rietveld refinement for phase analysis. Electron microscopy (SEM, TEM, EDS) for morphology and elemental
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, and mentoring graduate students. Key Responsibilities: Synthesis and Processing of novel Li-ion cathode materials using solid-state synthesis, sol-gel, co-precipitation, and hydrothermal methods